CAV Developed Vehicles as Real-Time Sensors for Assessing Greenhouse Gases

Principal Investigator(s):

Krishnakumar Nedunuri, Professor of Environmental Engineering – Central State University
Director – C.J. McLin International Center for Water Resources Management
Ramanitharan Kandiah, Professor of Environmental Engineering & Program Coordinator – Central State University

Project Abstract:
CSU proposes to study air pollutants under different traffic congestion scenarios along selected freeways in Ohio. The study captures pollution intensities in different seasons of the year representing different atmospheric stabilities and concentration of pollutants as a function of hold up times and traffic densities. MOVES will be used to generate several scenarios to determine emissions from vehicles in a simulated traffic congestion scenario. ODOT traffic data will be used in these scenarios. Resulting air pollution from emissions will be determined using a dispersion model and compared with GHG standards for emissions. A model will be developed to assess severity of air pollution, which will be used to forecast air quality index for the congested areas on freeways. CAV technology will then be deployed to communicate the information to travelers on freeways on radio channels approaching congested areas.

Institution(s): Central State University

Award Year: 2018

Research Thrust(s): Enabling Technology, Human Factors, Modeling & Implementation

Project Form(s):
Project Information Form